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Digital Image Processing with Two-Dimensional Haar Wavelets

Hakimjon ZaynidinovTashkent University of Information Technologies, Uzbekistan,
ABI

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In this article an algorithm has been developed to digitally compress an image using two-dimensional Haar wavelets, reduce its size, determine the recovery coefficients, and display a higher quality image of the processed image than the original image. It is known that one of the main problems of image compression is to find and apply an effective method that allows you to present each type of pixel (dot) in a compact form. To overcome this problem, a two-dimensional Haar wavelet modification was used, and as a result, the image was compressed to make the processed image more qualitative than the existing image.

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